Rapor Tarihi: 14.01.2026 07:31
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| . | PEM030 | Turkish | Compulsory | 1. Semester | 2 + 0 | 2.0 | 3.0 |
| Prerequisite Courses | |
| Course Level | Undergraduate |
| Mode of delivery | Elective |
| Course Coordinator | Öğr. Gör. Canberk BATU |
| Instructor(s) | Öğr. Gör. Canberk BATU (Güz) |
| Goals | To introduce the basic concepts and basic statistical test methods of statistics and to provide basic training in critical thinking through statistical concepts. It is the explanation of how to analyze the data obtained from the researches and how the analysis results will be interpreted. |
| Course Content | The basic concepts of statistics, classification of data, the central tendency and dispersion, methods of statistical estimation, hypothesis testing, analysis of variance, correlation and regression. |
| # | Öğrenme Kazanımı |
| 1 | Reasoning, knowledge: To learn basic terms and concepts related to statistics. To be able to collect, classify and present data. |
| 2 | Sensation, attitude(affective): To be able to determine and apply the most appropriate statistical technique / techniques. Statistical estimation and interpretation. |
| 3 | Perform, skill (psychomotor): To be able to analyze the problems that can be encountered in working life To be able to understand the role of statistical data analysis in managerial decision making. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | General Description, History and General Concepts of Statistics. | Interview, Presentation (Preparation), Practice |
| 2. Week | Arrangement and Classification of Statistical Data. | Interview, Presentation (Preparation), Practice |
| 3. Week | Representation of Statistical Data with Graphics. | Interview, Presentation (Preparation), Practice |
| 4. Week | Central Tendency Measures. | Interview, Presentation (Preparation), Practice |
| 5. Week | Central Distribution Measures. | Interview, Presentation (Preparation), Practice |
| 6. Week | Probability Theory, Conditional Probability, Probability Distribution. | Interview, Presentation (Preparation), Practice |
| 7. Week | Theoretical Distributions. | Interview, Presentation (Preparation), Practice |
| 8. Week | Midterm | |
| 9. Week | Sampling Technique. | Interview, Presentation (Preparation), Practice |
| 10. Week | Sampling Distributions. | Interview, Presentation (Preparation), Practice |
| 11. Week | Confidence Interval. | Interview, Presentation (Preparation), Practice |
| 12. Week | Hypothesis Tests. | Interview, Presentation (Preparation), Practice |
| 13. Week | Chi-Square Test. | Interview, Presentation (Preparation), Practice |
| 14. Week | Simple Linear Regression and Correlation Analysis. | Interview, Presentation (Preparation), Practice |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Knowledge: Within the framework of environmental and social sustainability principles (considering the public interest and value), to have the knowledge and understanding to gain and reflect up-to-date information that will carry out planning, design, management activities and research, | ✔ | |||||
| 2 | Knowledge: To have knowledge in planning and design approaches regarding sustainable resource management, healthy living and access to food, resilience, climate change management, rural / urban development and use of technology, | ✔ | |||||
| 3 | Knowledge: To have knowledge about universal, corporate and professional ethical values related to the field, | ✔ | |||||
| 4 | Knowledge: To have knowledge of national and international norms, conventions, professional principles, laws, regulations and standards related to the field, | ✔ | |||||
| 5 | Skill: The ability to use the necessary tools for the holistic perception, planning, design and creation of management models of processes within the landscape in the context of spatial / temporal scale, in the effects, pressures and changes faced by the inhabited geography, | ✔ | |||||
| 6 | Skill: The ability to develop alternative constructions and solutions in accordance with field-specific theories and methods in planning and design processes, | ✔ | |||||
| 7 | Skill: The ability to take responsibility in an interdisciplinary / transdisciplinary team, to set goals in a collaborative and inclusive manner, to plan tasks and to work in a participatory manner, | ✔ | |||||
| 8 | Skill: The ability to discuss individual views on field-specific issues and to improve oneself | ✔ | |||||
| 9 | Competence: Competence to act with the awareness of lifelong learning and research by internalizing sustainable, innovative and entrepreneurial approaches, | ✔ | |||||
| 10 | Competence: Competence of foreign language skills at a level to communicate and follow the developments in the field, | ✔ | |||||
| 11 | Competence: Competence to make decisions with a fair and participatory consciousness, with respect to environmental rights, social and cultural rights, showing the necessary sensitivity in the protection of natural environment and cultural heritage, based on universal principles in the field of profession, | ✔ | |||||
| 12 | Competence: Competence to prepare, implement, manage and monitor projects about the field, taking into account of knowledge in Landscape Architecture theory and methodology, open green space planning, green and blue infrastructure, management, protection and interpretation of cultural landscapes and landscape management, | ✔ | |||||
| 13 | Competence: Competence to produce projects in interdisciplinary collaborations in landscape planning, design and materials with the experience of tree nursery, application and office internship by integrating knowledge on the management of landscapes of different scales, planning and design of infrastructure projects, material and construction techniques with information technologies in the field, | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 |
|---|---|---|---|
| PY1 | 3 | 3 | 3 |
| PY2 | 2 | 2 | 2 |
| PY3 | 2 | 2 | 2 |
| PY4 | 4 | 4 | 4 |
| PY5 | 3 | 3 | 3 |
| PY6 | 2 | 2 | 2 |
| PY7 | 3 | 3 | 3 |
| PY8 | 2 | 2 | 2 |
| PY9 | 3 | 3 | 3 |
| PY10 | 1 | 1 | 1 |
| PY11 | 3 | 3 | 3 |
| PY12 | 2 | 2 | 2 |
| PY13 | 3 | 3 | 3 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 1 | 14 |
|
Ders Dışı |
Preparation, After Class Study | 14 | 2 | 28 |
| Research | 14 | 1 | 14 | |
| Practice | 9 | 1.5 | 13.5 | |
|
Sınavlar |
Midterm 1 | 1 | 1 | 1 |
| Final | 1 | 1 | 1 | |
| Classroom Activities | 5 | 1 | 5 | |
| Total Workload | 76.5 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 3.0 | ||
